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01 New to thisGlobal4 min read

What's the difference between an AI agent and a chatbot?

Youssef Jalloul
Youssef JalloulFounder and CEO, Inova AI Solutions · Sydney · Updated 9 November 2026
Short answer

A chatbot answers questions in a conversation. An AI agent takes actions: it reads documents, calls systems, follows a workflow and produces an outcome, such as checking a supplier's documents or routing an invoice. Because agents act inside your systems, they need permissions, approvals and an audit trail that a chatbot never did.

Key facts
  • Gartner expects over 40% of agentic AI projects to be cancelled by the end of 2027 on cost, unclear value or weak risk controls.Gartner, Over 40% of agentic AI projects will be canceled by end of 2027 (25 Jun 2025)
  • Gartner estimates only about 130 of thousands of vendors claiming agentic AI are genuine.Gartner, Over 40% of agentic AI projects will be canceled by end of 2027 (25 Jun 2025)
  • 95% of organisations saw no measurable P&L return from generative AI pilots.MIT Project NANDA, The GenAI Divide: State of AI in Business 2025 (via Computing)

Chatbots answer

A chatbot takes a question and returns text. Useful for search and drafting, but the work still happens in people's hands.

Agents act

An agent takes a goal and works through steps: read the tender, check the supplier against the register, score the bid, flag anything suspicious, and send it for approval. Agents connect to systems such as SAP, document stores and email, which is where their value and their risk come from.

What changes for governance

Agents need identities, permissions and limits. High-impact actions need a human approval. Every action needs a log. Without these, agentic projects become the ones Gartner expects to be cancelled.

Watch out for agent washing

Gartner estimates only about 130 of the thousands of vendors claiming agentic AI deliver genuine agentic capability. Ask to see agents running on real systems, with approvals and logs, not a scripted demo.

Questions people also ask

Are agents safe?
They are as safe as the controls around them: permissions, approvals, human takeover and audit.
What are good first agents?
Back-office workflows with clear rules and measurable volume: document checks, vendor onboarding, invoice queries, tender search.
What does BLDR do?
BLDR is a platform to build, govern and run AI agents across your systems, with approvals and a full audit trail.
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